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| author | Dongjoon Hyun <dongjoon@apache.org> | 2016-12-10 16:40:10 +0000 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-12-10 16:40:10 +0000 |
| commit | f3a3fed76cb74ecd0f46031f337576ce60f54fb2 (patch) | |
| tree | 32ce26284e5ccd86139ad3dad76885f2796fecf8 /docs | |
| parent | c5172568b59b4cf1d3dc7ed8c17a9bea2ea2ab79 (diff) | |
| download | spark-f3a3fed76cb74ecd0f46031f337576ce60f54fb2.tar.gz spark-f3a3fed76cb74ecd0f46031f337576ce60f54fb2.tar.bz2 spark-f3a3fed76cb74ecd0f46031f337576ce60f54fb2.zip | |
[MINOR][DOCS] Remove Apache Spark Wiki address
## What changes were proposed in this pull request?
According to the notice of the following Wiki front page, we can remove the obsolete wiki pointer safely in `README.md` and `docs/index.md`, too. These two lines are the last occurrence of that links.
```
All current wiki content has been merged into pages at http://spark.apache.org as of November 2016.
Each page links to the new location of its information on the Spark web site.
Obsolete wiki content is still hosted here, but carries a notice that it is no longer current.
```
## How was this patch tested?
Manual.
- `README.md`: https://github.com/dongjoon-hyun/spark/tree/remove_wiki_from_readme
- `docs/index.md`:
```
cd docs
SKIP_API=1 jekyll build
```
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes #16239 from dongjoon-hyun/remove_wiki_from_readme.
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/index.md | 1 |
1 files changed, 0 insertions, 1 deletions
diff --git a/docs/index.md b/docs/index.md index c5d34cb5c4..57b9fa848f 100644 --- a/docs/index.md +++ b/docs/index.md @@ -131,7 +131,6 @@ options for deployment: **External Resources:** * [Spark Homepage](http://spark.apache.org) -* [Spark Wiki](https://cwiki.apache.org/confluence/display/SPARK) * [Spark Community](http://spark.apache.org/community.html) resources, including local meetups * [StackOverflow tag `apache-spark`](http://stackoverflow.com/questions/tagged/apache-spark) * [Mailing Lists](http://spark.apache.org/mailing-lists.html): ask questions about Spark here |